Vincenzo Esposito Vinzi

Biography

 Current Member of the IFCS (International Federation of Classification Societies) Council (IFCS, 2011-2015)  President of the International Society of Business and Industrial Statistics (ISBIS, 2013-2015) Chairman of the European Board of Directors of the International Association for Statistical Computing (IASC), 2012-2014 Chair of the Mahalanobis Committee on International Award in Statistics presented by the International Statistical Institute (ISI) and the Indian Ministry of Statistics and Programme Implementation at the ISI biennial Congress in Hong Kong (August 2013) Member of the ISI (International Statistical Institute) Council (2009-2013) Scientific Secretary of the International Federation of Classification Societies (IFCS, 2005-2011)  Associate Professor of Statistics, University Federico II  at Napoli, Italy - Department of Mathematics and Statistics (up to 2007) Visiting Professor and lecturer in Universities and Research Centers around Europe : at the HEC School of Management  in Paris, Charles University in Prague, Université Paul Sabatier in Toulouse, University of Cagliari (Italy) Associate Editor of the following Journals: Computational Statistics and Data Analysis (CSDA), Computational Statistics (CS),  Advances in Data Analysis and Classification (ADAC), Statistical Methods & Applications (SMA), Italian Journal of Applied Statistics, Le Monde des Utilisateurs de L'Analyse de Données (MODULAD) Member of the Council of the International Association for Statistical Computing (IASC), 2003-2007 Member of the Board of Directors of the European Regional Section (ERS) of IASC, 1998-2002 Member of the Scientific Council of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS), 2005-2007 Elected Ordinary Member of the International Statistical Institute (ISI)

Research Interest

 Areas Multivariate Analysis, Exploratory Data Analysis, Clustering and Classification, Causality Networks, Dependence Structures Factorial Methods, Partial Least Squares Regression and Path Modeling, Structural Equation Modelling (covariance-based and component-based approaches), Latent Class Detection, Typological Regression, Non Symmetrical Data Analysis, Multi-block Modeling, Analysis of Paired and Multiple Tables, Procrustean Rotations    Sectors Customer Satisfaction Measurement (with respect to both commodities and public services), Consumer Preference Studies, Capturing Customer Heterogeneity, Sensory Data Analysis, Product Development, Total Quality Measurement, Other applications in Business and Industry